Extended Self Organizing Maps for Structured Domain: Models and Learning

作者: Gabriela Andrejková , Jozef Oravec

DOI: 10.1007/978-3-319-10783-7_24

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摘要: Modelling of neural networks is still a very interesting and important field in the area computing models. If input domains are data structures represented by graphs output domain expected similar form, it necessary to consider process network modelling. We propose four models extended Self Organizing Maps (SOM) that can be applied graph as together with learning algorithms. Extensions SOM model based on idea remember information connections (using some context neurons).

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